[DOCS] Fine tunes update anomaly detection job API documentation (#47280)

* [DOCS] Fine tunes update anomaly detection job API documentation.
* [DOCS] Removes delimiter to fix the table.
This commit is contained in:
István Zoltán Szabó 2019-10-02 10:04:35 +02:00
parent 6a9f04ee76
commit 1cecbd0cd3
1 changed files with 14 additions and 21 deletions

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@ -36,8 +36,11 @@ The following properties can be updated after the job is created:
|=======================================================================
|Name |Description |Requires Restart
|`analysis_limits`: `model_memory_limit` |The approximate maximum amount of
memory resources required for analytical processing. See <<ml-apilimits>>. | Yes
|`analysis_limits.model_memory_limit` |The approximate maximum amount of
memory resources required for analytical processing. See <<ml-apilimits>>. You
can update the `analysis_limits` only while the job is closed. The
`model_memory_limit` property value cannot be decreased below the current usage.
| Yes
|`background_persist_interval` |Advanced configuration option. The time between
each periodic persistence of the model. See <<ml-job-resource>>. | Yes
@ -46,11 +49,18 @@ each periodic persistence of the model. See <<ml-job-resource>>. | Yes
|`description` |A description of the job. See <<ml-job-resource>>. | No
|`detectors` |An array of <<ml-detector-update, detector update objects>>. | No
|`detectors` |An array of detector update objects. | No
|`detector_index` |The identifier of the detector to update (integer).| No
|`detectors.description` |The new description for the detector.| No
|`detectors.custom_rules` |The new list of <<ml-detector-custom-rule, rules>>
for the detector. | No
|`groups` |A list of job groups. See <<ml-job-resource>>. | No
|`model_plot_config`: `enabled` |If true, enables calculation and storage of the
|`model_plot_config.enabled` |If true, enables calculation and storage of the
model bounds for each entity that is being analyzed.
See <<ml-apimodelplotconfig>>. | No
@ -73,28 +83,11 @@ effect.
[NOTE]
--
* You can update the `analysis_limits` only while the job is closed.
* The `model_memory_limit` property value cannot be decreased below the current usage.
* If the `memory_status` property in the `model_size_stats` object has a value
of `hard_limit`, this means that it was unable to process some data. You might
want to re-run this job with an increased `model_memory_limit`.
--
[[ml-detector-update]]
==== Detector update objects
A detector update object has the following properties:
`detector_index`::
(integer) The identifier of the detector to update.
`description`::
(string) The new description for the detector.
`custom_rules`::
(array) The new list of <<ml-detector-custom-rule, rules>> for the detector.
No other detector property can be updated.
[[ml-update-job-example]]
==== {api-examples-title}